Probability, random variables, and random signal principles

書誌事項

Probability, random variables, and random signal principles

Peyton Z. Peebles, Jr

(McGraw-Hill series in electrical and computer engineering, Communication and signal processing)

McGraw-Hill, c1993

3rd ed., international editions

  • : pbk

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注記

Includes bibliographical references (p. 389-391) and index

内容説明・目次

巻冊次

ISBN 9780070492738

内容説明

This concise introduction to probability theory for undergraduate electrical engineers offers a logical organization which stresses the fundamentals of the subject. The topics have been chosen to flow logically from simple to advanced. Examples and applications illustrating the theory are featured throughout the book, including discussions of noise figures and noise and random signals in systems, and over 800 exercises are included. This edition has added coverage of poisson random processes, measurement of power spectra, and computer generation of random variables. It has added several new fully-worked examples and exercises at the end of chapters. Also available is a solutions manual (0-07-049274-3).

目次

  • Probability
  • the random variable
  • operations on one random variable-expectation
  • multiple random variables
  • operations on multiple random variables
  • random processes
  • spectral characteristics of random processes
  • linear systems with random inputs
  • optimum linear systems
  • some practical applications of the theory.
巻冊次

: pbk ISBN 9780071127820

内容説明

Designed for undergraduate electrical engineering students, the subject matter is organised logically, with the emphasis on fundamentals. It contains over eight hundred exercises, and practical applications such as discussions of noise figures and temperature. Third revised edition.

目次

  • Probability
  • the random variable
  • operations on one random variable-expectation
  • multiple random variables
  • operations on multiple random variables
  • random processes
  • spectral characteristics of random processes
  • linear systems with random inputs
  • optimum linear systems
  • some practical applications of the theory.

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